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Computational methods in industrial ventilation.

Authors
Flynn-MR
Source
Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 1995 Sep; :1-51
Link
NIOSHTIC No.
00231902
Abstract
An existing computer code was expanded to predict air flow patterns around workers and obstacles, to develop models of exposure from these flow fields, and to conduct flow visualization and tracer experiments using a mannequin and a wind tunnel in order to validate the computer predictions of exposure. The two dimensional discrete vortex method for the time dependent velocity field around an ellipse in a uniform free stream was successfully expanded to include multiple objects in the flow. The concept of numerical flow visualization was introduced as an analytical tool. A particle tracking algorithm was introduced into the code to predict the time dependent concentration field and integrate this field over various regions in both space and time providing exposure estimates when appropriate computational breathing zones are identified. The experimental examinations of velocity and concentration fields were in good agreement with the numerical predictions made. Enough of the primary contaminant transport mechanisms data was captured by the computer model to allow reasonable quantitative estimates of exposure for a static three dimensional experiment with a box and mannequin in the wind tunnel. The vortex method was able to capture the evolution of the particularly large scale eddies responsible for contaminant transport in the vicinity of workers.
Keywords
NIOSH-Grant; Control-technology; Indoor-air-pollution; Air-flow; Air-quality-control; Mathematical-models; Industrial-hygiene; Indoor-environmental-quality
Contact
Environmental Sciences & Engr University of North Carolina CB 7400 Rosenau Chapel Hill, NC 27599-7400
Publication Date
19950914
Document Type
Final Grant Report
Funding Amount
463513
Funding Type
Grant
Fiscal Year
1995
NTIS Accession No.
PB97-104400
NTIS Price
A05
Identifying No.
Grant-Number-R01-OH-002858
NIOSH Division
OEP
Source Name
Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, North Carolina
State
NC
Performing Organization
University of North Carolina Chapel Hill, Chapel Hill, North Carolina
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